Research Software Engineer, Post Training

Thinking Machines Lab

$350K — $475K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience leading technical projects end to end.
  • Strong proficiency in Python and engineering fundamentals, with skills in debugging complex systems.
  • Bachelor's degree in Computer Science, Machine Learning, Physics, Mathematics, or related field.
  • Excellent written communication skills for explaining complex technical concepts.
  • Demonstrated self-motivation and ownership in achieving team goals.

Responsibilities

  • Embed within a research team to enhance necessary systems and infrastructure.
  • Design and build infrastructure like RL training systems and data pipelines for research teams.
  • Operate and maintain systems necessary for team productivity.

Benefits

  • Generous health, dental, and vision insurance.
  • Unlimited paid time off (PTO) policy.
  • Paid parental leave.
  • Relocation support available if needed.
Full Job Description
About the Role

This role is responsible for building and strengthening the engineering foundations that our post-training research teams depend on. You'll embed within a research team, and build or improve the systems required for the team to succeed. Our research teams are small, and the role carries a corresponding degree of autonomy and responsibility.
What You'll Do
  • Embed within a research team to build, harden, and improve the systems and infrastructure required for the team to succeed.
  • Design, build, and operate infrastructure research teams depend on, including RL training systems, sandboxing, data pipelines, and agent scaffolding.
Skills and Qualifications

Minimum qualifications:
  • Experience leading projects end to end, working in large fast-moving codebases, and writing code others have depended and built on.
  • Strong proficiency in Python and strong engineering fundamentals, with experience debugging systems that fail intermittently and at scale.
  • Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding.
  • Clarity in communication, an ability to explain complex technical concepts in writing.
  • Strong autonomous drive to progress towards the team's goals with an ownership mindset.

Preferred qualifications - we encourage you to apply even if you don't meet all preferred qualifications, but preferably some:
  • Experience building or iterating with sandboxed or containerized execution environments at a large scale.
  • Experience in a role where the team's priorities set yours, and a track record of success in such a role.
  • Familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
Logistics
  • Location: This role is based in San Francisco, California.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is [redacted]00 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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